Secure Internet of Things (IoT) using a novel Brooks Iyengar quantum Byzantine Agreement-centered blockchain Networking (BIQBA-BCN) model in smart healthcare
Smart Health Care offers efficient, sustainable, along with real-time human services, and the concept of enhanced Internet of Things (IoT) lies behind the emergence of this smart Health Care (HC). Nevertheless, the association of these IoT-centric sensors with other organizations generates security...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhao, Zhenwei [verfasserIn] Li, Xiaoming [verfasserIn] Luan, Bing [verfasserIn] Jiang, Weining [verfasserIn] Gao, Weidong [verfasserIn] Neelakandan, Subramani [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Information sciences - New York, NY : Elsevier Science Inc., 1968, 629, Seite 440-455 |
|---|---|
| Übergeordnetes Werk: |
volume:629 ; pages:440-455 |
| DOI / URN: |
10.1016/j.ins.2023.01.020 |
|---|
| Katalog-ID: |
ELV06293287X |
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| 245 | 1 | 0 | |a Secure Internet of Things (IoT) using a novel Brooks Iyengar quantum Byzantine Agreement-centered blockchain Networking (BIQBA-BCN) model in smart healthcare |
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| 520 | |a Smart Health Care offers efficient, sustainable, along with real-time human services, and the concept of enhanced Internet of Things (IoT) lies behind the emergence of this smart Health Care (HC). Nevertheless, the association of these IoT-centric sensors with other organizations generates security threats that an illegal user might utilize it owing to the data’s openness. In the HC sector, data security and privacy are the prime concern in which the alteration in data values as sensors could modify the diagnosis process, which may cause serious health problems. The immutability and transparency of the blockchain make it a viable option for the safe storage and management of healthcare data. However, the Cloud Storage Server (CSS), consensus latency, majority attacks, Byzantine problem, uncomfortable data Throughput (TP), et cetera, make the blockchain vulnerable to healthcare data transmission. To solve the current disadvantages, a secure IoT was introduced in healthcare using Brooks Iyengar Quantum Byzantine Agreement-centered Blockchain Networking (BIQBA-BCN). This study ensures the sincerity and equity of health data exchange. Based on Blum Blum Shub and Okamoto Uchiyana Cryptosystem (OUCS) mutual authentica1tion, the proposed work provides an OUCS-based mutual authentication system (BBS-OUC). Attackers are prevented from entering the BCN, ensuring the storage remains trustworthy. In addition, the Key Weight Block Function-Quasi-Cyclic Moderate Density Parity Check (KWBF-QCMDPC) algorithm safeguards the confidentiality and dependability of IoT user data. The cryptosystem technique protects sensitive data when the blockchain platform is distributed. The proposed methodology, known as BIQBA-BCN, results in a security level that is %94 effective. Finally, the BIQBA-BC consensus mechanism is used to distribute data to the corresponding Hospital Server (HS). By achieving a higher data TP, lower delay, higher Success Rate (SR), shorter consensus latency, and node communication time, the experimental results show that the proposed methodology is exceptionally safe against assaults and highly scalable. | ||
| 650 | 4 | |a Internet of things (IoT) | |
| 650 | 4 | |a Smart healthcare | |
| 650 | 4 | |a Blockchain technology | |
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| 700 | 1 | |a Gao, Weidong |e verfasserin |4 aut | |
| 700 | 1 | |a Neelakandan, Subramani |e verfasserin |4 aut | |
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10.1016/j.ins.2023.01.020 doi (DE-627)ELV06293287X (ELSEVIER)S0020-0255(23)00019-1 DE-627 ger DE-627 rda eng 070 004 VZ LING DE-30 fid 54.00 bkl 53.71 bkl Zhao, Zhenwei verfasserin aut Secure Internet of Things (IoT) using a novel Brooks Iyengar quantum Byzantine Agreement-centered blockchain Networking (BIQBA-BCN) model in smart healthcare 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Smart Health Care offers efficient, sustainable, along with real-time human services, and the concept of enhanced Internet of Things (IoT) lies behind the emergence of this smart Health Care (HC). Nevertheless, the association of these IoT-centric sensors with other organizations generates security threats that an illegal user might utilize it owing to the data’s openness. In the HC sector, data security and privacy are the prime concern in which the alteration in data values as sensors could modify the diagnosis process, which may cause serious health problems. The immutability and transparency of the blockchain make it a viable option for the safe storage and management of healthcare data. However, the Cloud Storage Server (CSS), consensus latency, majority attacks, Byzantine problem, uncomfortable data Throughput (TP), et cetera, make the blockchain vulnerable to healthcare data transmission. To solve the current disadvantages, a secure IoT was introduced in healthcare using Brooks Iyengar Quantum Byzantine Agreement-centered Blockchain Networking (BIQBA-BCN). This study ensures the sincerity and equity of health data exchange. Based on Blum Blum Shub and Okamoto Uchiyana Cryptosystem (OUCS) mutual authentica1tion, the proposed work provides an OUCS-based mutual authentication system (BBS-OUC). Attackers are prevented from entering the BCN, ensuring the storage remains trustworthy. In addition, the Key Weight Block Function-Quasi-Cyclic Moderate Density Parity Check (KWBF-QCMDPC) algorithm safeguards the confidentiality and dependability of IoT user data. The cryptosystem technique protects sensitive data when the blockchain platform is distributed. The proposed methodology, known as BIQBA-BCN, results in a security level that is %94 effective. Finally, the BIQBA-BC consensus mechanism is used to distribute data to the corresponding Hospital Server (HS). By achieving a higher data TP, lower delay, higher Success Rate (SR), shorter consensus latency, and node communication time, the experimental results show that the proposed methodology is exceptionally safe against assaults and highly scalable. Internet of things (IoT) Smart healthcare Blockchain technology Blockchain networking (BCN) K KWBF-QCMDPC BIQBA-BCN Li, Xiaoming verfasserin aut Luan, Bing verfasserin aut Jiang, Weining verfasserin aut Gao, Weidong verfasserin aut Neelakandan, Subramani verfasserin aut Enthalten in Information sciences New York, NY : Elsevier Science Inc., 1968 629, Seite 440-455 Online-Ressource (DE-627)271175850 (DE-600)1478990-5 (DE-576)078412293 0020-0255 nnns volume:629 pages:440-455 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-LING SSG-OPC-BBI GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.00 Informatik: Allgemeines VZ 53.71 Theoretische Nachrichtentechnik VZ AR 629 440-455 |
| spelling |
10.1016/j.ins.2023.01.020 doi (DE-627)ELV06293287X (ELSEVIER)S0020-0255(23)00019-1 DE-627 ger DE-627 rda eng 070 004 VZ LING DE-30 fid 54.00 bkl 53.71 bkl Zhao, Zhenwei verfasserin aut Secure Internet of Things (IoT) using a novel Brooks Iyengar quantum Byzantine Agreement-centered blockchain Networking (BIQBA-BCN) model in smart healthcare 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Smart Health Care offers efficient, sustainable, along with real-time human services, and the concept of enhanced Internet of Things (IoT) lies behind the emergence of this smart Health Care (HC). Nevertheless, the association of these IoT-centric sensors with other organizations generates security threats that an illegal user might utilize it owing to the data’s openness. In the HC sector, data security and privacy are the prime concern in which the alteration in data values as sensors could modify the diagnosis process, which may cause serious health problems. The immutability and transparency of the blockchain make it a viable option for the safe storage and management of healthcare data. However, the Cloud Storage Server (CSS), consensus latency, majority attacks, Byzantine problem, uncomfortable data Throughput (TP), et cetera, make the blockchain vulnerable to healthcare data transmission. To solve the current disadvantages, a secure IoT was introduced in healthcare using Brooks Iyengar Quantum Byzantine Agreement-centered Blockchain Networking (BIQBA-BCN). This study ensures the sincerity and equity of health data exchange. Based on Blum Blum Shub and Okamoto Uchiyana Cryptosystem (OUCS) mutual authentica1tion, the proposed work provides an OUCS-based mutual authentication system (BBS-OUC). Attackers are prevented from entering the BCN, ensuring the storage remains trustworthy. In addition, the Key Weight Block Function-Quasi-Cyclic Moderate Density Parity Check (KWBF-QCMDPC) algorithm safeguards the confidentiality and dependability of IoT user data. The cryptosystem technique protects sensitive data when the blockchain platform is distributed. The proposed methodology, known as BIQBA-BCN, results in a security level that is %94 effective. Finally, the BIQBA-BC consensus mechanism is used to distribute data to the corresponding Hospital Server (HS). By achieving a higher data TP, lower delay, higher Success Rate (SR), shorter consensus latency, and node communication time, the experimental results show that the proposed methodology is exceptionally safe against assaults and highly scalable. Internet of things (IoT) Smart healthcare Blockchain technology Blockchain networking (BCN) K KWBF-QCMDPC BIQBA-BCN Li, Xiaoming verfasserin aut Luan, Bing verfasserin aut Jiang, Weining verfasserin aut Gao, Weidong verfasserin aut Neelakandan, Subramani verfasserin aut Enthalten in Information sciences New York, NY : Elsevier Science Inc., 1968 629, Seite 440-455 Online-Ressource (DE-627)271175850 (DE-600)1478990-5 (DE-576)078412293 0020-0255 nnns volume:629 pages:440-455 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-LING SSG-OPC-BBI GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.00 Informatik: Allgemeines VZ 53.71 Theoretische Nachrichtentechnik VZ AR 629 440-455 |
| allfields_unstemmed |
10.1016/j.ins.2023.01.020 doi (DE-627)ELV06293287X (ELSEVIER)S0020-0255(23)00019-1 DE-627 ger DE-627 rda eng 070 004 VZ LING DE-30 fid 54.00 bkl 53.71 bkl Zhao, Zhenwei verfasserin aut Secure Internet of Things (IoT) using a novel Brooks Iyengar quantum Byzantine Agreement-centered blockchain Networking (BIQBA-BCN) model in smart healthcare 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Smart Health Care offers efficient, sustainable, along with real-time human services, and the concept of enhanced Internet of Things (IoT) lies behind the emergence of this smart Health Care (HC). Nevertheless, the association of these IoT-centric sensors with other organizations generates security threats that an illegal user might utilize it owing to the data’s openness. In the HC sector, data security and privacy are the prime concern in which the alteration in data values as sensors could modify the diagnosis process, which may cause serious health problems. The immutability and transparency of the blockchain make it a viable option for the safe storage and management of healthcare data. However, the Cloud Storage Server (CSS), consensus latency, majority attacks, Byzantine problem, uncomfortable data Throughput (TP), et cetera, make the blockchain vulnerable to healthcare data transmission. To solve the current disadvantages, a secure IoT was introduced in healthcare using Brooks Iyengar Quantum Byzantine Agreement-centered Blockchain Networking (BIQBA-BCN). This study ensures the sincerity and equity of health data exchange. Based on Blum Blum Shub and Okamoto Uchiyana Cryptosystem (OUCS) mutual authentica1tion, the proposed work provides an OUCS-based mutual authentication system (BBS-OUC). Attackers are prevented from entering the BCN, ensuring the storage remains trustworthy. In addition, the Key Weight Block Function-Quasi-Cyclic Moderate Density Parity Check (KWBF-QCMDPC) algorithm safeguards the confidentiality and dependability of IoT user data. The cryptosystem technique protects sensitive data when the blockchain platform is distributed. The proposed methodology, known as BIQBA-BCN, results in a security level that is %94 effective. Finally, the BIQBA-BC consensus mechanism is used to distribute data to the corresponding Hospital Server (HS). By achieving a higher data TP, lower delay, higher Success Rate (SR), shorter consensus latency, and node communication time, the experimental results show that the proposed methodology is exceptionally safe against assaults and highly scalable. Internet of things (IoT) Smart healthcare Blockchain technology Blockchain networking (BCN) K KWBF-QCMDPC BIQBA-BCN Li, Xiaoming verfasserin aut Luan, Bing verfasserin aut Jiang, Weining verfasserin aut Gao, Weidong verfasserin aut Neelakandan, Subramani verfasserin aut Enthalten in Information sciences New York, NY : Elsevier Science Inc., 1968 629, Seite 440-455 Online-Ressource (DE-627)271175850 (DE-600)1478990-5 (DE-576)078412293 0020-0255 nnns volume:629 pages:440-455 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-LING SSG-OPC-BBI GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.00 Informatik: Allgemeines VZ 53.71 Theoretische Nachrichtentechnik VZ AR 629 440-455 |
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10.1016/j.ins.2023.01.020 doi (DE-627)ELV06293287X (ELSEVIER)S0020-0255(23)00019-1 DE-627 ger DE-627 rda eng 070 004 VZ LING DE-30 fid 54.00 bkl 53.71 bkl Zhao, Zhenwei verfasserin aut Secure Internet of Things (IoT) using a novel Brooks Iyengar quantum Byzantine Agreement-centered blockchain Networking (BIQBA-BCN) model in smart healthcare 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Smart Health Care offers efficient, sustainable, along with real-time human services, and the concept of enhanced Internet of Things (IoT) lies behind the emergence of this smart Health Care (HC). Nevertheless, the association of these IoT-centric sensors with other organizations generates security threats that an illegal user might utilize it owing to the data’s openness. In the HC sector, data security and privacy are the prime concern in which the alteration in data values as sensors could modify the diagnosis process, which may cause serious health problems. The immutability and transparency of the blockchain make it a viable option for the safe storage and management of healthcare data. However, the Cloud Storage Server (CSS), consensus latency, majority attacks, Byzantine problem, uncomfortable data Throughput (TP), et cetera, make the blockchain vulnerable to healthcare data transmission. To solve the current disadvantages, a secure IoT was introduced in healthcare using Brooks Iyengar Quantum Byzantine Agreement-centered Blockchain Networking (BIQBA-BCN). This study ensures the sincerity and equity of health data exchange. Based on Blum Blum Shub and Okamoto Uchiyana Cryptosystem (OUCS) mutual authentica1tion, the proposed work provides an OUCS-based mutual authentication system (BBS-OUC). Attackers are prevented from entering the BCN, ensuring the storage remains trustworthy. In addition, the Key Weight Block Function-Quasi-Cyclic Moderate Density Parity Check (KWBF-QCMDPC) algorithm safeguards the confidentiality and dependability of IoT user data. The cryptosystem technique protects sensitive data when the blockchain platform is distributed. The proposed methodology, known as BIQBA-BCN, results in a security level that is %94 effective. Finally, the BIQBA-BC consensus mechanism is used to distribute data to the corresponding Hospital Server (HS). By achieving a higher data TP, lower delay, higher Success Rate (SR), shorter consensus latency, and node communication time, the experimental results show that the proposed methodology is exceptionally safe against assaults and highly scalable. Internet of things (IoT) Smart healthcare Blockchain technology Blockchain networking (BCN) K KWBF-QCMDPC BIQBA-BCN Li, Xiaoming verfasserin aut Luan, Bing verfasserin aut Jiang, Weining verfasserin aut Gao, Weidong verfasserin aut Neelakandan, Subramani verfasserin aut Enthalten in Information sciences New York, NY : Elsevier Science Inc., 1968 629, Seite 440-455 Online-Ressource (DE-627)271175850 (DE-600)1478990-5 (DE-576)078412293 0020-0255 nnns volume:629 pages:440-455 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-LING SSG-OPC-BBI GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.00 Informatik: Allgemeines VZ 53.71 Theoretische Nachrichtentechnik VZ AR 629 440-455 |
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070 004 VZ LING DE-30 fid 54.00 bkl 53.71 bkl Secure Internet of Things (IoT) using a novel Brooks Iyengar quantum Byzantine Agreement-centered blockchain Networking (BIQBA-BCN) model in smart healthcare Internet of things (IoT) Smart healthcare Blockchain technology Blockchain networking (BCN) K KWBF-QCMDPC BIQBA-BCN |
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secure internet of things (iot) using a novel brooks iyengar quantum byzantine agreement-centered blockchain networking (biqba-bcn) model in smart healthcare |
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Secure Internet of Things (IoT) using a novel Brooks Iyengar quantum Byzantine Agreement-centered blockchain Networking (BIQBA-BCN) model in smart healthcare |
| abstract |
Smart Health Care offers efficient, sustainable, along with real-time human services, and the concept of enhanced Internet of Things (IoT) lies behind the emergence of this smart Health Care (HC). Nevertheless, the association of these IoT-centric sensors with other organizations generates security threats that an illegal user might utilize it owing to the data’s openness. In the HC sector, data security and privacy are the prime concern in which the alteration in data values as sensors could modify the diagnosis process, which may cause serious health problems. The immutability and transparency of the blockchain make it a viable option for the safe storage and management of healthcare data. However, the Cloud Storage Server (CSS), consensus latency, majority attacks, Byzantine problem, uncomfortable data Throughput (TP), et cetera, make the blockchain vulnerable to healthcare data transmission. To solve the current disadvantages, a secure IoT was introduced in healthcare using Brooks Iyengar Quantum Byzantine Agreement-centered Blockchain Networking (BIQBA-BCN). This study ensures the sincerity and equity of health data exchange. Based on Blum Blum Shub and Okamoto Uchiyana Cryptosystem (OUCS) mutual authentica1tion, the proposed work provides an OUCS-based mutual authentication system (BBS-OUC). Attackers are prevented from entering the BCN, ensuring the storage remains trustworthy. In addition, the Key Weight Block Function-Quasi-Cyclic Moderate Density Parity Check (KWBF-QCMDPC) algorithm safeguards the confidentiality and dependability of IoT user data. The cryptosystem technique protects sensitive data when the blockchain platform is distributed. The proposed methodology, known as BIQBA-BCN, results in a security level that is %94 effective. Finally, the BIQBA-BC consensus mechanism is used to distribute data to the corresponding Hospital Server (HS). By achieving a higher data TP, lower delay, higher Success Rate (SR), shorter consensus latency, and node communication time, the experimental results show that the proposed methodology is exceptionally safe against assaults and highly scalable. |
| abstractGer |
Smart Health Care offers efficient, sustainable, along with real-time human services, and the concept of enhanced Internet of Things (IoT) lies behind the emergence of this smart Health Care (HC). Nevertheless, the association of these IoT-centric sensors with other organizations generates security threats that an illegal user might utilize it owing to the data’s openness. In the HC sector, data security and privacy are the prime concern in which the alteration in data values as sensors could modify the diagnosis process, which may cause serious health problems. The immutability and transparency of the blockchain make it a viable option for the safe storage and management of healthcare data. However, the Cloud Storage Server (CSS), consensus latency, majority attacks, Byzantine problem, uncomfortable data Throughput (TP), et cetera, make the blockchain vulnerable to healthcare data transmission. To solve the current disadvantages, a secure IoT was introduced in healthcare using Brooks Iyengar Quantum Byzantine Agreement-centered Blockchain Networking (BIQBA-BCN). This study ensures the sincerity and equity of health data exchange. Based on Blum Blum Shub and Okamoto Uchiyana Cryptosystem (OUCS) mutual authentica1tion, the proposed work provides an OUCS-based mutual authentication system (BBS-OUC). Attackers are prevented from entering the BCN, ensuring the storage remains trustworthy. In addition, the Key Weight Block Function-Quasi-Cyclic Moderate Density Parity Check (KWBF-QCMDPC) algorithm safeguards the confidentiality and dependability of IoT user data. The cryptosystem technique protects sensitive data when the blockchain platform is distributed. The proposed methodology, known as BIQBA-BCN, results in a security level that is %94 effective. Finally, the BIQBA-BC consensus mechanism is used to distribute data to the corresponding Hospital Server (HS). By achieving a higher data TP, lower delay, higher Success Rate (SR), shorter consensus latency, and node communication time, the experimental results show that the proposed methodology is exceptionally safe against assaults and highly scalable. |
| abstract_unstemmed |
Smart Health Care offers efficient, sustainable, along with real-time human services, and the concept of enhanced Internet of Things (IoT) lies behind the emergence of this smart Health Care (HC). Nevertheless, the association of these IoT-centric sensors with other organizations generates security threats that an illegal user might utilize it owing to the data’s openness. In the HC sector, data security and privacy are the prime concern in which the alteration in data values as sensors could modify the diagnosis process, which may cause serious health problems. The immutability and transparency of the blockchain make it a viable option for the safe storage and management of healthcare data. However, the Cloud Storage Server (CSS), consensus latency, majority attacks, Byzantine problem, uncomfortable data Throughput (TP), et cetera, make the blockchain vulnerable to healthcare data transmission. To solve the current disadvantages, a secure IoT was introduced in healthcare using Brooks Iyengar Quantum Byzantine Agreement-centered Blockchain Networking (BIQBA-BCN). This study ensures the sincerity and equity of health data exchange. Based on Blum Blum Shub and Okamoto Uchiyana Cryptosystem (OUCS) mutual authentica1tion, the proposed work provides an OUCS-based mutual authentication system (BBS-OUC). Attackers are prevented from entering the BCN, ensuring the storage remains trustworthy. In addition, the Key Weight Block Function-Quasi-Cyclic Moderate Density Parity Check (KWBF-QCMDPC) algorithm safeguards the confidentiality and dependability of IoT user data. The cryptosystem technique protects sensitive data when the blockchain platform is distributed. The proposed methodology, known as BIQBA-BCN, results in a security level that is %94 effective. Finally, the BIQBA-BC consensus mechanism is used to distribute data to the corresponding Hospital Server (HS). By achieving a higher data TP, lower delay, higher Success Rate (SR), shorter consensus latency, and node communication time, the experimental results show that the proposed methodology is exceptionally safe against assaults and highly scalable. |
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Nevertheless, the association of these IoT-centric sensors with other organizations generates security threats that an illegal user might utilize it owing to the data’s openness. In the HC sector, data security and privacy are the prime concern in which the alteration in data values as sensors could modify the diagnosis process, which may cause serious health problems. The immutability and transparency of the blockchain make it a viable option for the safe storage and management of healthcare data. However, the Cloud Storage Server (CSS), consensus latency, majority attacks, Byzantine problem, uncomfortable data Throughput (TP), et cetera, make the blockchain vulnerable to healthcare data transmission. To solve the current disadvantages, a secure IoT was introduced in healthcare using Brooks Iyengar Quantum Byzantine Agreement-centered Blockchain Networking (BIQBA-BCN). This study ensures the sincerity and equity of health data exchange. Based on Blum Blum Shub and Okamoto Uchiyana Cryptosystem (OUCS) mutual authentica1tion, the proposed work provides an OUCS-based mutual authentication system (BBS-OUC). Attackers are prevented from entering the BCN, ensuring the storage remains trustworthy. In addition, the Key Weight Block Function-Quasi-Cyclic Moderate Density Parity Check (KWBF-QCMDPC) algorithm safeguards the confidentiality and dependability of IoT user data. The cryptosystem technique protects sensitive data when the blockchain platform is distributed. The proposed methodology, known as BIQBA-BCN, results in a security level that is %94 effective. Finally, the BIQBA-BC consensus mechanism is used to distribute data to the corresponding Hospital Server (HS). 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